- Deep learning for coders (36 hours) http://course.fast.ai/
- In-depth introduction to machine learning in 15 hours http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/
- Datacamp https://www.datacamp.com/
- Linear algebra (MIT, 34 lectures * 45 minutes) https://www.youtube.com/watch?v=ZK3O402wf1c&list=PLE7DDD91010BC51F8
- Statistical Computing for Scientists and Engineers (University of Notre Dame, 28 lectures * 80 minutes) https://www.zabaras.com/statisticalcomputing?utm_campaign=Data%2BElixir&utm_medium=email&utm_source=Data_Elixir_165
- Neural networks and deep learning http://neuralnetworksanddeeplearning.com/
- Free data ebooks http://www.oreilly.com/data/free/archive.html
- The deep learning textbook http://www.deeplearningbook.org/
- Probability cheatsheet http://www.wzchen.com/probability-cheatsheet/
- How to solve 90% of NLP problems https://blog.insightdatascience.com/how-to-solve-90-of-nlp-problems-a-step-by-step-guide-fda605278e4e
- The matrix calculus you need for deep learning http://parrt.cs.usfca.edu/doc/matrix-calculus/index.html
- Rules of Machine Learning: Best Practices for ML Engineering http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf?utm_campaign=Data%2BElixir&utm_medium=email&utm_source=Data_Elixir_163
- Deep learning in Scala https://brunk.io/deep-learning-in-scala-part-2-hello-neural-net.html
- Artifical intelligence is the new electricity https://www.youtube.com/watch?v=21EiKfQYZXc
- Data science and AI in the travel industry https://www.altexsoft.com/blog/datascience/data-science-and-ai-in-the-travel-industry-9-real-life-use-cases/
- Kernel functions - http://mlkernels.readthedocs.io/en/latest/kernels.html